Learn More
Recently proposed novel interaction techniques such as cursor jumping [1] and target expansion for tiled arrangements [13] are predicated on an ability to effectively estimate the endpoint of an input gesture prior to its completion. However, current endpoint estimation techniques lack the precision to make these interaction techniques possible. To address(More)
Target expansion is a pointing facilitation technique where the user's target, typically an interface widget, is dynamically enlarged to speed pointing in interfaces. However, with densely packed (tiled) arrangements of widgets, interfaces cannot expand all potential targets; they must, instead, predict the user's desired target. As a result, mispredictions(More)
Participant biases can influence proposed gestures in elicitation studies. There is a legacy bias from previous experience with, or even knowledge of, existing input devices, interfaces, and technologies. There is also a performance bias, where the artificial study setting does not encourage consideration of long-term aspects such as fatigue. These biases(More)
Smartphones are frequently used in environments where the user is distracted by another task, for example by walking or by driving. While the typical interface for smartphones involves hardware and software buttons and surface gestures, researchers have recently posited that, for distracted environments, benefits may exist in using motion gestures to(More)
We investigate behaviours on, and around, large vertical displays during concurrent usage. Using an observational field study, we identify fundamental patterns of how people use existing public displays: their orientation, positioning, group identification, and behaviour within and between social groups just-before, during, and just-after usage. These(More)
Designers of motion gestures for mobile devices face the difficult challenge of building a recognizer that can separate gestural input from motion noise. A threshold value is often used to classify motion and effectively balances the rates of false positives and false negatives. We present a bi-level threshold recognition technique designed to lower the(More)
Effective mode-switching techniques provide users of tablet interfaces with access to a rich set of behaviors. While many researchers have studied the relative performance of mode-switching techniques in these interfaces, these metrics tell us little about the behavior of one technique in the absence of a competitor. Differing from past comparison-based(More)